DeepSeek LLM
Access the full DeepSeek API on Atlas Cloud! A unified OpenAI-compatible endpoint covering every model in the DeepSeek lineup. Whether you need the DeepSeek V4 API for frontier-grade reasoning, the DeepSeek V4 Pro API for 1M-token long-context tasks, the DeepSeek V4 Flash API for high-throughput low-latency workloads, the DeepSeek R1 API for chain-of-thought reasoning, or the DeepSeek V3 API and DeepSeek V3.2 API for production-grade text generation — one API key gets you instant access to all of them. No separate accounts, no rate-limit surprises, pay only for what you use.
Explore the Leading DeepSeek
Atlas Cloud provides you with the latest industry-leading creative models.
What Makes DeepSeek Stand Out
Atlas Cloud provides you with the latest industry-leading creative models.
Open Power
Top-tier models that are fully open-source, ensuring transparency and control.
Architectural Efficiency
Leverages advanced Mixture-of-Experts (MoE) for leading performance at a fraction of the cost.
Purpose-Built Versatility
From the versatile V3.1 to the specialized reasoning of R1, DeepSeek offers models for every task.
Developer-First Freedom
Permissively licensed for unrestricted commercial use, fostering innovation without barriers.
Proven Performance
Consistently achieves state-of-the-art results on industry benchmarks for coding and reasoning.
The Practical Alternative
Delivers the power of leading proprietary models with the affordability and flexibility of open-source.
Peak speed
Lowest cost
| Modality | Description |
|---|---|
| DeepSeek V3.2 | DeepSeek V3.2 is a flagship general-purpose LLM, integrating sparse attention mechanisms with robust 163.8K context processing capabilities; boasting highly competitive baseline pricing, it serves as the cornerstone for daily workflows, including complex general reasoning and building multi-step task-scheduling Agents. |
| DeepSeek V3.2 Speciale | DeepSeek V3.2 Speciale is positioned as a high-performance custom LLM, featuring a massive 163.8K context window and a premium tiered pricing structure ($0.4 input / $1.2 output), specifically designed for latency-sensitive core business nodes requiring ultimate output quality, such as intelligent customer service for high-net-worth clients or millisecond-level quantitative analysis. |
| DeepSeek V3.2 Exp | DeepSeek V3.2 Exp is a cutting-edge experimental version based on the V3.2 architecture, integrating the latest algorithmic features while maintaining a 163.8K context and comparable costs, making it ideal for R&D teams conducting technical pre-research and canary testing to preemptively validate the differentiating power of next-gen AI capabilities for future products. |
| DeepSeek-V3.1 | DeepSeek-V3.1 is the latest generation of high-performance open-source ecosystem models, achieving a new balance between performance and cost within a 131.1K context; as the top choice for commercial implementation projects, it acts as the backbone for scenarios requiring both high-quality generation and controllable costs. |
| DeepSeek V3.1 Terminus | DeepSeek V3.1 Terminus serves as the long-term stable ultimate form of the V3.1 series, DeepSeek V3.1 Terminus maintains identical parameters and pricing to the standard version, aiming to provide a perpetually stable output style and logic for seamless, consumer-facing production environment endpoint services. |
| DeepSeek-V3-0324 | DeepSeek-V3-0324 is a specific historical snapshot version featuring a 131.1K context and the lowest text input cost available, primarily applied in legacy system maintenance requiring absolute behavioral consistency, or batch processing tasks with massive input throughput but moderate output logic requirements. |
| DeepSeek-R1-0528 | DeepSeek-R1-0528 positioned as a top-tier deep reasoning model, utilizing a 131.1K context and commands the highest compute cost ($0.55/$2.15), representing the pinnacle of logical dialectic capabilities, exclusively used for critical "brainstorming" tasks like complex mathematical modeling and advanced code architecture generation. |
| DeepSeek OCR | DeepSeek OCR is a dedicated visual multimodal LLM that supports dual-track image-text input with a short 8.2K context and ultra-low usage costs, perfectly adapted for automated data entry pipeline scenarios such as the digitization of massive scanned documents and structured extraction of financial receipts. |
Key Features of DeepSeek APIs
Combining advanced models with Atlas Cloud's GPU-accelerated platform delivers unmatched speed, scalability, and creative control for image and video generation.
World-Class Reasoning & Verification via DeepSeek-V3.2-Speciale API
DeepSeek-V3.2-Speciale is the "long-thought" enhanced variant of the V3.2 architecture, integrating advanced theorem-proving capabilities from DeepSeek-Math-V2. Engineered for extreme precision, this model excels in rigorous mathematical proofing, complex logical verification, and superior instruction following, rivaling the performance of Gemini-3.0-Pro in mainstream reasoning benchmarks. It is the premier choice for academic research, automated formal verification, and high-stakes technical problem-solving where logical integrity is non-negotiable.
Unrivaled Cognitive Depth via DeepSeek-R1 API
The DeepSeek-R1 model stands at the forefront of reasoning AI, delivering industry-leading performance in mathematics, programming, and general logic. By achieving parity with elite global models such as OpenAI’s o3 and Gemini-2.5-Pro, R1 has redefined the capabilities of open-source intelligence. It is specifically optimized for deep-thinking tasks, including complex algorithmic development, sophisticated data synthesis, and advanced cognitive workflows that require multi-stage deductive reasoning.
Seamless daily interaction with autonomous Agent workflows using DeepSeek V3.2 API
DeepSeek-V3.2 strikes the perfect balance between reasoning depth and execution speed, designed to power seamless daily interactions and autonomous Agent ecosystems. With significantly reduced latency and optimized output control, it serves as a robust engine for multi-step task orchestration and general-purpose AI assistants. Whether deploying enterprise-scale automation or high-frequency interactive tools, V3.2 ensures a fluid, efficient, and cost-effective user experience.
Rigorous Scientific Discovery & Formal Verification with DeepSeek-V3.2-Speciale API
The DeepSeek-V3.2-Speciale API is engineered for tasks that demand absolute logical precision and multi-step reasoning. By integrating advanced theorem-proving capabilities, it enables researchers and engineers to execute complex mathematical inductions, verify formal logic, and solve high-tier competitive programming challenges. Perfect for academic R&D, automated code auditing, and cryptographic analysis, this API transforms abstract complexity into verifiable results with the performance of top-tier global models.
Advanced Algorithmic Synthesis & Strategic Reasoning using the DeepSeek-R1 API
DeepSeek-R1 empowers developers to build applications centered on deep cognitive workflows and strategic decision-making. Ranking at the forefront of global reasoning benchmarks, the R1 API excels in synthesizing sophisticated code architectures, processing dense technical documentation, and generating innovative solutions for open-ended logical puzzles. It is the ideal engine for AI-driven software engineering, long-form data synthesis, and any scenario where "thinking fast and slow" requires a powerful, reasoning-first foundation.
Seamless Autonomous Agent Orchestration with the DeepSeek-V3.2 API
For high-velocity, sensory-driven AI applications, the DeepSeek-V3.2 API provides the perfect equilibrium between reasoning depth and ultra-low latency. It is optimized for building autonomous Agents that can navigate multi-step workflows, manage real-time user interactions, and execute general-purpose tasks with GPT-5 level intelligence. This use case is tailor-made for enterprise-scale automation, intelligent customer ecosystems, and developers looking to deploy responsive, cost-effective AI assistants at scale.
Model Comparison
See how models from different providers stack up — compare performance, pricing, and unique strengths to make an informed decision.
| Model | Context | Max Output | Input | Positioning |
|---|---|---|---|---|
| DeepSeek V3.2 | 163.84K | 163.84K | Text | Flagship General |
| DeepSeek V3.2 Speciale | 163.84K | 163.84K | Text | High-Performance Custom |
| DeepSeek V3.2 Exp | 163.84K | 163.84K | Text | Experimental Build |
| DeepSeek-V3.1 | 131.07K | 65.54K | Text | Open-Source Backbone |
| DeepSeek V3.1 Terminus | 131.07K | 65.54K | Text | Long-Term Stable (LTS) |
| DeepSeek-V3-0324 | 131.07K | 32.77K | Text | Historical Snapshot |
| DeepSeek-R1-0528 | 131.07K | 131.07K | Text | Top-Tier Reasoning |
| DeepSeek OCR | 8.19K | 8.19K | Text | Dedicated Multimodal |
| GLM-5 | 200K | 128K | Text | Flagship Foundation Model |
| MiniMax-M2.5 | 204.8K | 196.6K | Text | SOTA Agentic Coding |
How to Use DeepSeek on Atlas Cloud
Get started in minutes — follow these simple steps to integrate and deploy models through Atlas Cloud's platform.
Create an Atlas Cloud Account
Sign up at atlascloud.ai and complete verification. New users receive free credits to explore the platform and test models.
Why Use DeepSeek on Atlas Cloud
Combining the advanced DeepSeek models with Atlas Cloud's GPU-accelerated platform provides unmatched performance, scalability, and developer experience.
Performance & flexibility
Low Latency:
GPU-optimized inference for real-time reasoning.
Unified API:
Run DeepSeek, GPT, Gemini, and DeepSeek with one integration.
Transparent Pricing:
Predictable per-token billing with serverless options.
Enterprise & Scale
Developer Experience:
SDKs, analytics, fine-tuning tools, and templates.
Reliability:
99.99% uptime, RBAC, and compliance-ready logging.
Security & Compliance:
SOC 2 Type II, HIPAA alignment, data sovereignty in US.
What People Asked about DeepSeek API
Atlas Cloud provides an OpenAI-compatible DeepSeek API that allows developers to access models such as R1, V4, V4 Pro, and V4 Flash through a single endpoint. This makes it easy to integrate DeepSeek models into existing applications without learning a new API format. Developers can use the same workflows and tooling they already use for OpenAI-based projects.
Yes. Atlas Cloud is fully compatible with the OpenAI SDK, allowing developers to connect DeepSeek models using the same client libraries and request formats. In most cases, migrating an existing application only requires updating the API key and endpoint URL rather than rewriting application logic.
To use DeepSeek API with the OpenAI SDK, simply configure your client to use the Atlas Cloud endpoint and API key. Existing code examples, integrations, and SDK workflows can typically be reused with minimal modifications. This helps developers get started quickly and reduces migration effort.
Atlas Cloud supports a growing range of DeepSeek models, including R1, V4, V4 Pro, and V4 Flash. All supported models are accessible through a unified API endpoint, making it easy to switch between models based on performance, speed, or cost requirements without changing your integration approach.
No. Atlas Cloud follows an OpenAI-compatible API structure, so most applications can continue using their existing SDK code and request patterns. Developers generally only need to update configuration settings such as the API endpoint and authentication credentials, significantly reducing migration time.
Yes. Because Atlas Cloud provides an OpenAI-compatible endpoint, it can be integrated with popular frameworks such as LangChain and LlamaIndex. Developers can usually connect DeepSeek models by updating configuration settings, enabling them to build AI agents, RAG systems, and production applications using existing workflows.
Yes. Atlas Cloud provides a consistent API interface across supported DeepSeek models, making it easy to switch between R1, V4, V4 Pro, and V4 Flash. This flexibility allows developers to optimize for reasoning quality, response speed, or cost without changing their application architecture.
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Grok-Imagine Models
Grok Imagine Image Quality is xAI's latest AI image generation model, delivering studio-grade visuals with up to 2K resolution and razor-sharp detail. It offers best-in-class text rendering across multiple languages, photorealistic outputs with natural lighting, rich textures, and believable physics, plus tighter prompt following and image editing with reference inputs for precise creative control. Ideal for hero images, ad creatives, product renders, and brand-grade visuals.
Gemini Omni
Gemini Omni (by Google DeepMind) is a video generation and editing model launched on May 20, 2026 at Google I/O that redefines the standard for "reasoning-driven creation," built specifically to solve the core challenge of AI video: making output that actually understands what you mean, not just what you type. It fuses Gemini's reasoning engine with generative capability, accepting any mix of images, text, video, and audio to produce consistent, knowledge-grounded output. Unlike models that start from scratch each time, Omni lets you edit through natural conversation — swapping objects, rewriting scenes, shifting styles — while keeping physics, characters, and continuity intact across every turn.
GPT Image 2 Models
GPT Image 2 is a state-of-the-art multimodal foundation model engineered for exceptional text-to-image generation with unprecedented photorealism and creative versatility. Developed by OpenAI as the evolution of the DALL-E lineage, it transforms detailed natural language descriptions into hyper-realistic imagery at up to 4K resolution. With proprietary "Neural Rendering Engine" technology for precise visual control, GPT Image 2 delivers studio-quality results with accurate anatomy, lighting, and composition—making it the premier AI tool for professional creators, enterprises, and developers demanding production-ready visual assets.
Google's most powerful creative models are all available on Atlas Cloud. Veo 3.1 delivers cinematic video generation, Nano Banana 2 powers high-fidelity image creation, and Gemini brings multimodal intelligence to every workflow. Access the full Google model suite through one API key with Day-0 availability and pay-as-you-go pricing.
ByteDance
From cinematic video generation to high-fidelity image creation, ByteDance's most powerful models are live on Atlas Cloud. Run Seedance and Seedream at scale with the lowest inference pricing and zero infrastructure overhead.
Alibaba
Atlas Cloud brings together Alibaba's full model lineup under one API: Qwen for language and image tasks, Wan for video generation up to 1080p. Access every model pay-as-you-go with no subscriptions. The Alibaba API is available via a single base URL using your existing OpenAI-compatible client.
MAI
MAI-Image-2.5 is Microsoft's latest photorealistic image generation and editing model family, built for commercial design, product photography, and brand-ready content creation. Available in standard and Flash variants for both text-to-image and image editing, it delivers best-in-class Arena ELO scores at competitive pricing — starting from $0.03 per image. With precise text rendering, surgical editing capability, and natural portrait generation, MAI-Image-2.5 is designed for teams that need production-quality visuals without post-processing overhead.
Wan 2.7 Models
Launching this March, Wan2.7 is the latest powerhouse in the Qwen ecosystem, delivering a massive upgrade in visual fidelity, audio synchronization, and motion consistency over version 2.6. This all-in-one AI video generator supports advanced features like first-and-last frame control, 3x3 grid synthesis, and instruction-based video editing. Outperforming competitors like Jimeng, Wan2.7 offers superior flexibility with support for real-person image inputs, up to five video references, and 1080P high-definition outputs spanning 2 to 15 seconds, making it the premier choice for professional digital storytelling and high-end content marketing.
Nano Banana 2 Models
Nano Banana 2 (by Google), is a generative image model that perfectly balances lightning-fast rendering with exceptional visual quality. With an improved price-performance ratio, it achieves breakthrough micro-detail depiction, accurate native text rendering, and complex physical structure reconstruction. It serves as a highly efficient, commercial-grade visual production tool for developers, marketing teams, and content creators.
Doubao Models
Doubao is ByteDance's family of large language models, engineered for production-grade reasoning, coding, and high-volume agentic workloads. Spanning flagship Seed 2.0 Pro, a dedicated Code Preview variant, cost-efficient Lite and Mini tiers, plus the proven Seed 1.8 and Seed 1.6 generations, the lineup gives developers a single, OpenAI-compatible interface to scale from frontier reasoning down to latency-sensitive, high-throughput tasks. Every Doubao model on Atlas Cloud ships with a 256K-token context window, streaming, and drop-in SDK compatibility — so you can match the right model to each job without rewriting your stack.
Hunyuan 3D
Hunyuan3D is a state-of-the-art 3D generative foundation model from Tencent that turns text prompts and single images into high-quality, textured 3D meshes. Built on a two-stage pipeline—Hunyuan3D-DiT for shape generation via flow-matching diffusion and Hunyuan3D-Paint for multi-view texture synthesis—it produces clean geometry with full PBR materials ready for game engines, AR/VR, 3D printing, and DCC tools. Available in Pro (up to 1.5M faces, 4K PBR textures) and Rapid (2–3 minute lightweight generation) tiers, with both Text-to-3D and Image-to-3D entry points, Hunyuan3D is the premier AI 3D toolkit for game developers, e-commerce teams, and 3D content studios. Generations start at $0.02 each.
